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How AI can be used to target distracted driving

In New York and across the U.S., distracted driving is becoming an epidemic. In fact, according to the National Safety Council, about nine people die and 100 are injured every day in distracted driving crashes. Efforts have been made to raise awareness of the danger of distracted driving, but many drivers continue to engage in it even when they know it's wrong. Some, then, are looking to technology to address the trend.

Artificial intelligence, in particular, may provide a solution. Automakers are already taking advantage of the mechanics of deep learning and advances in computer vision technology to create cameras and sensors that track drivers' behavior and set off alerts when drivers are distracted. Technology may develop to the point where sensors can predict human behavior of all kinds.

Besides setting off alarms, sensors could be used to specify when the vehicle should brake, steer and follow other navigational commands. Visual AI can be used to create use cases, allowing carmakers to know what sort of things might interfere with driving.

Manufacturers are also intent on developing new warning systems that will be hard to ignore. For example, rather than just setting off an alarm, a system could lower the volume of the radio or change the color of the dashboard background to get drivers' attention.

Distracted driving is becoming one of the leading causes of motor vehicle crashes, and unfortunately for those who are injured in such crashes, it can be hard to prove. After all, a driver can easily lie about cognitive and visual distractions. Whatever the case is like, those who believe they are eligible for compensation under personal injury law may consult a lawyer. If hired, the lawyer may speak on victims' behalf at the negotiation table or in the courtroom.

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